News & Intel
LiveDaily AI-curated intelligence on Palantir Foundry, Ontology, AIP, Apollo, contracts, and community feedback. Updated automatically via GitHub Actions every day at 7 AM UTC.
Palantir Q1 expectations buoyed by commercial acceleration, government contracts
If you click 'Accept all', we and our partners, including 250 who are part of the IAB Transparency & Consent Framework, will also store and / or access information on a device (in other words, us… [+1046 chars]
We Are Trapped Inside Dystopia
Increasingly, it seems we are all trapped inside a dystopian science fiction tale. Tragically, there are no exits.
Dear TikTokers With Poor Decision-Making Skills, You Should Not Do the Palantir Speedrun Challenge
It's all fun and games until you get sent to Gitmo.
Israel’s New World Order: Nothing But the Threat of Endless Death
For the last two and a half years, the State of Israel has unilaterally — and with jaw-dropping illegality — reimagined warfare as a religiously-mandated existential struggle against alleged “forces of darkness” in which there are no rules, and no sense of pr…
Inside FDP – part 1: Understanding the problems facing NHS data
In the first of an exclusive series of articles by the former deputy director of data engineering at NHS England, we examine the real story behind the NHS's controversial Palantir software project, the Federated Data Platform
Met's Palantir deployment turns heat on its own officers
HN Discussion — 1 comments · 5 points.
Palantir's Al Targeting System Running the Iran War [video]
HN Discussion — 1 comments · 16 points.
Ready, Set, Build with the NHS Federated Data Platform
The National Health Service (NHS) has delivered universal healthcare to an entire nation for over 75 years. With 1.5 million staff providing care to approximately 57 million patients across hundreds of hospital trusts — using decades old legacy infrastructure — the NHS is one of the most operationally complex organisations on earth. For most of its history, the NHS has run on data that couldn’t talk to itself. Patient records, waiting lists, operating theatre schedules, discharge plans: all this critical information was stored in separate systems that NHS staff couldn’t see, couldn’t share, and couldn’t act on together, as one system. Together with the NHS, Palantir built the NHS Federated Data Platform (NHS FDP) to address this challenge. Built to Connect Data, Safely and Securely The NHS FDP is an NHS England programme delivered through a consortium led by Palantir. It provides a data infrastructure layer that connects the NHS to itself, bringing together operational data scatt
Feature Request: AI FDE able to integrate Linter
Hi, Below is a summary for the feature request. Problem: The AI FDE currently cannot access or interpret linter optimization suggestions. This creates a gap where code improvements identified by the linter are not incorporated into automated workflows, requiring manual intervention. Proposed Solution: Enable the AI FDE to integrate with the linter system and retrieve its optimization suggestions. The AI should be able to interpret these suggestions and optionally apply or recommend them as part of its automated processes. Use Cases: Automatically applying safe linter fixes during code generation or refactoring Highlighting linter suggestions alongside AI-generated code Reducing manual review effort by incorporating standard code quality rules Benefits: Improved code quality and consistency Reduced manual effort in addressing linter warnings, and cross checking different recommendations. More efficient development workflow thro
Deduplicated View for Linked Object Properties in Workshop Module
Hi, Below the details for this feature request. Problem: In the Workshop module’s object table, adding a linked object property can result in hundreds of duplicated values depending on the number of related objects and their content. This makes it difficult to identify distinct values and reduces usability. The current workaround requires creating a custom function to deduplicate results. However, this must be implemented separately for each object and each link, which becomes inefficient and time-consuming in environments with many relationships. Proposed Solution: Introduce a built-in option to display distinct (deduplicated) values for linked object properties directly within the object table. This could be implemented as a toggle or setting (e.g., “Show unique values only”) applied at the property level. Use Cases: Viewing a clean list of unique linked values without duplicates Simplifying analysis of relationships between objects Reducing the ne
GeoHash -> GeoPoint in pipeline builder?
What is the most efficient way to go from a geohash → geopoint in pipeline builder? I see a geopoint → geohash expression, but not the other way around 2 posts - 2 participants Read full topic
Which specific SigLIP 2 checkpoint does `GOOGLE_SIGLIP_2` map to?
Which specific SigLIP 2 checkpoint does GOOGLE_SIGLIP_2 map to? Looking for variant (Base / Large / So400m / Giant), patch size, resolution, and embedding dimensionality. 1 post - 1 participant Read full topic
Bug Report: Media Sets not registering on main
I’m getting a build failure caused by: “MediaSet:CannotReadMediaSetBranch”. According to Data Lineage, the media set does not exist on main (see screenshot below). In a simplified pipeline pasted below, Media Set XLSX Output can build, but Dataset XLSX Output fails to access a media set item (CannotReadMediaSetBranch) after converting media reference to a logical type: Media Reference. For context, I need to develop a drop zone where users can upload the latest Excel extract from a business system. I tried to use a media set backed property in an ontology action type, and this error is blocking me from using the Excel files from the materialization for downstream processing. Please advise both about steps to resolve this error and alternative workflows. Potentially related: Foundry branching: medias sets on branches 2 posts - 2 participants Read full topic
FR: Reset / Discard user edits and fall back to backing dataset
Hi, we are very frequently stumbling across a missing functionality, which is the reset/discard user edits on object types. Imagine, you have an object type that is backed by a backing dataset. It has a property that frequently updates via pipeline, but you want to allow users to edits that value. The underlying dataset is still frequently updating the value, but since it has an ontology edit, only that edit is valid - so far so good. Now imagine the case, the user wants to reset that edit (discard) and let again the value be defined by the frequently-updating backing dataset value. As per my understanding, there is actually no direct way of achieving such a discard. In situations where we can not prevent the discard case, we are implement a very effortfull workaround This is: we store edits which potentially require reset in separate object types additionally. When the user applies an edit, we edit the main object type and create the secondary „edited property" object. With
This lesson will smash billionaires' grip on America
The attempted shooting at the White House Correspondents’ Association dinner Saturday night shouldn’t surprise us. Not only does America have the world’s most active small-arms industry that essentially controls the GOP (the reporters got a taste of what Amer…
10 Tuesday AM Reads
My TACO Tuesday morning train reads: • See How the Energy Crisis Is Spreading Across the World: A WSJ visual breakdown of how the latest energy crunch is rippling across electricity, gas, and oil markets — and which countries are bearing the brunt. (Wall Str…
Big Data in Healthcare Market Size to Reach USD 441.05 Billion by 2035; Growth is Propelling Owing Growing Number of Healthcare Facilities Globally | SNS Insider
Big data in healthcare grows rapidly, driven by EHR adoption, AI analytics, and cloud, enhancing care, efficiency, and population health outcomes globally.
ReelTime’s Reel Intelligence “RI” Launches Worlds Most Advanced Image Generation System, Expanding Its Multi-Modal Intelligence Platform Lead Over Legacy AI
RI’s Distributed, Infrastructure-Light Architecture Signals a Break from Traditional AI Models as Microsoft (MSFT), NVIDIA (NVDA), Alphabet (GOOGL), Meta Platforms (META), Palantir (PLTR), OpenAI, Allbirds (BIRD), Anthropic, xAI, and Luma AI Continue Investin…